Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
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Updated
Jun 27, 2024 - Python
Pytorch code for ECCV'22 paper. ShAPO: Implicit Representations for Multi-Object Shape, Appearance and Pose Optimization
Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
TetSphere Splatting: Representing High-Quality Geometry with Lagrangian Volumetric Meshes
Implementation of CVPR'21: RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
The goal of this project is to extend the project from Smith et al. by fixing some critical errors and bottlenecks, and introducing multithreading for the processing of multiple SfP scenes.
A Javascript library for the demonstration of Euclidean shape reconstruction via Rips Complexes
A statistical framework for feature selection and association mapping with 3D shapes
An implementation of implicit representation, Signed Distance Function (SDF) representation
This repository contains the deployment of several modules used for the project ErgoCub
Reproducibility repo for the simulation and real data results in the SINATRA manuscript set to appear in AoAS.
Software package for asteroid shape reconstruction from disk-resolved observations
Efficient 3D Morphable Model Face Fitting using Depth Sensing Technologies
Rendering color and depth images for ShapeNet models.
Repository for the homework of Image Analysis and Computer Vision course of Politecnico di Milano 2017/2018.
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